Publication | Open Access
PyFLEXTRKR: a flexible feature tracking Python software for convective cloud analysis
73
Citations
61
References
2023
Year
Environmental MonitoringEngineeringSoftware PackageAtmospheric ModelConvective Cloud AnalysisFlexible Atmospheric FeatureEarth ScienceNumerical Weather PredictionData ScienceAtmospheric ScienceFlexible FeaturePython SoftwareMeteorological MeasurementMachine VisionMesoscale MeteorologyRadiation MeasurementDeep LearningComputer VisionRemote SensingHigh-resolution ModelingConvective Clouds
Abstract. This paper describes the new open-source framework PyFLEXTRKR (Python FLEXible object TRacKeR), a flexible atmospheric feature tracking software package with specific capabilities to track convective clouds from a variety of observations and model simulations. This software can track any atmospheric 2D objects and handle merging and splitting explicitly. The package has a collection of multi-object identification algorithms, scalable parallelization options, and has been optimized for large datasets including global high-resolution data. We demonstrate applications of PyFLEXTRKR on tracking individual deep convective cells and mesoscale convective systems from observations and model simulations ranging from large-eddy resolving (∼100s m) to mesoscale (∼10s km) resolutions. Visualization, post-processing, and statistical analysis tools are included in the package. New Lagrangian analyses of convective clouds produced by PyFLEXTRKR applicable to a wide range of datasets and scales facilitate advanced model evaluation and development efforts as well as scientific discovery.
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